Solving an aggregate production planning problem by using interactive fuzzy linear programming
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Abstract
This study utilizes an interactive Fuzzy Linear Programming (FLP) model for solving the Aggregate Production Planning (APP) problem in an uncertain environment. The uncertain conditions include uncertainties of customer demand, operation time, operation cost, and machine capacity. The proposed model tries to minimize the total costs of the APP plan. Through the concept of obtaining an optimal solution in different levels of the feasible degree (α), decision-makers can interact with the given goal until achieving an efficient compromised solution that presents the overall satisfaction level of Decision-Makers (DMs) based on the given goal values. The outcome of this approach provides more flexibility for DMs to achieve a satisfactory solution. Finally, the proposed approach is compared with other traditional approaches and the results are analyzed.
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